The Mobile Artificial Intelligence (AI) Market is expected to register a CAGR of 26.4% from 2025 to 2031, with a market size expanding from US$ XX million in 2024 to US$ XX Million by 2031.
The report is segmented by Application (Smartphones, Cameras, Drones, Automotive, AR/VR, Robotics, Smart Boards, and PCS), Technology Node (10nm, 20 to 28nm, 7nm and Others). The global analysis is further broken-down at regional level and major countries. The report offers the value in USD for the above analysis and segments
Purpose of the ReportThe report Mobile Artificial Intelligence (AI) Market by The Insight Partners aims to describe the present landscape and future growth, top driving factors, challenges, and opportunities. This will provide insights to various business stakeholders, such as:
- Technology Providers/Manufacturers: To understand the evolving market dynamics and know the potential growth opportunities, enabling them to make informed strategic decisions.
- Investors: To conduct a comprehensive trend analysis regarding the market growth rate, market financial projections, and opportunities that exist across the value chain.
- Regulatory bodies: To regulate policies and police activities in the market with the aim of minimizing abuse, preserving investor trust and confidence, and upholding the integrity and stability of the market.
Mobile Artificial Intelligence (AI) Market Segmentation
Application- Smartphones
- Cameras
- Drones
- Automotive
- AR/VR
- Robotics
- Smart Boards
- PCS
- 10nm
- 20 to 28nm
- 7nm
Strategic Insights
Mobile Artificial Intelligence (AI) Market Growth Drivers- Rising Demand for Smart and Personalized Mobile Experiences: With the growing demand for personalized user experiences, mobile AI has become essential in providing dynamic services. AI-powered features like voice assistants, facial recognition, and personalized content recommendations are becoming standard on smartphones and mobile apps. These features leverage machine learning and natural language processing (NLP) to analyze user behavior and preferences, providing tailored experiences that are driving consumer engagement and loyalty.
- Advancements in Edge Computing and On-Device Processing: One of the key drivers of the mobile AI market is the rise of edge computing and on-device AI processing. Unlike traditional cloud-based AI models, which rely on centralized servers, edge computing allows mobile devices to process data locally, improving response times and reducing the need for constant internet connectivity. This capability enhances the user experience by enabling real-time AI applications such as augmented reality (AR), instant translation, and intelligent camera features, all without relying heavily on cloud servers.
- Increased Adoption of AI-Powered Virtual Assistants: The growing popularity of virtual assistants like Apple’s Siri, Google Assistant, and Amazon’s Alexa is significantly driving the mobile AI market. These assistants rely on AI technologies such as NLP, voice recognition, and machine learning to interpret user commands and provide contextual, real-time responses. As virtual assistants become more sophisticated, their integration into mobile devices is expected to expand, leading to an increased demand for mobile AI solutions.
- AI-Powered Healthcare Applications: Mobile AI is poised to revolutionize the healthcare sector, with growing applications in telemedicine, diagnostics, and health monitoring. Future mobile AI solutions will provide real-time health data analysis, enabling features like predictive health monitoring, personalized health advice, and remote patient monitoring. AI-enabled mobile apps will help users track vital signs, detect symptoms, and receive guidance on managing health conditions, leading to increased adoption in the healthcare industry.
- Integration of AI in 5G Networks: The deployment of 5G networks will further enhance the capabilities of mobile AI by providing faster internet speeds, lower latency, and increased bandwidth. This will enable more advanced AI applications, such as real-time streaming of high-quality AI-powered services, improved mobile gaming experiences, and more sophisticated AI-driven content recommendations. 5G will allow AI models to run more efficiently on mobile devices, providing a smoother, faster, and more reliable user experience.
- Voice and Natural Language Processing (NLP) Advancements: As natural language processing (NLP) continues to evolve, the voice-based AI market is expected to see significant growth. Mobile AI solutions will become increasingly adept at understanding, processing, and responding to human speech in a more natural and contextually relevant way. Future NLP advancements will allow voice assistants to engage in more complex conversations, understand multiple languages and dialects, and improve the accuracy of voice-based commands, expanding their usability across a wide range of applications.
- Growth of AI in Mobile Retail and E-Commerce: The use of AI in mobile retail and e-commerce is expected to grow rapidly, with AI enabling personalized shopping experiences, recommendation systems, virtual try-ons, and real-time customer service through chatbots. As mobile shopping continues to rise in popularity, businesses can use AI to improve customer engagement, optimize product recommendations, and streamline the purchasing process. This presents a significant opportunity for mobile AI solution providers to develop tools that enhance the mobile retail experience and drive sales for e-commerce platforms.
- Increased Use of AI in Mobile Advertising: Mobile advertising is increasingly relying on AI to deliver personalized, context-driven ads based on user behavior and preferences. AI enables advertisers to target specific user segments more effectively, optimizing ad placement and increasing engagement rates. As the mobile advertising market continues to grow, there will be greater demand for AI-driven tools that help businesses analyze customer data, predict ad performance, and enhance user targeting, creating new opportunities for mobile AI providers.
- AI in Mobile Gaming and Interactive Experiences: With the booming mobile gaming industry, there is an immense opportunity for AI to improve the gaming experience. AI is used to enhance game physics, provide smarter NPC (non-player character) behaviors, and offer personalized gaming experiences. Additionally, AI-powered games can adjust in difficulty based on a player's skills, creating dynamic and engaging experiences. As the mobile gaming market continues to grow, the demand for more sophisticated AI capabilities will present substantial opportunities for developers in the gaming and entertainment industries.
Market Report Scope
Key Selling Points
- Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the Mobile Artificial Intelligence (AI) Market, providing a holistic landscape.
- Expert Analysis: The report is compiled based on the in-depth understanding of industry experts and analysts.
- Up-to-date Information: The report assures business relevance due to its coverage of recent information and data trends.
- Customization Options: This report can be customized to cater to specific client requirements and suit the business strategies aptly.
The research report on the Mobile Artificial Intelligence (AI) Market can, therefore, help spearhead the trail of decoding and understanding the industry scenario and growth prospects. Although there can be a few valid concerns, the overall benefits of this report tend to outweigh the disadvantages.
REGIONAL FRAMEWORK
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- Request discounts available for Start-Ups & Universities

Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
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Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
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Frequently Asked Questions
Some of the customization options available based on the request are an additional 3–5 company profiles and country-specific analysis of 3–5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation# as our team would review the same and check the feasibility
The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request
AI-powered healthcare applications, and voice and natural language processing (NLP) advancements are likely to remain a key trend in the market.
Rising demand for smart and personalized mobile experiences, and advancements in edge computing and on-device processing are the major factors driving the mobile artificial intelligence (AI) market.
Global mobile artificial intelligence (AI) market is expected to grow at a CAGR of 26.4% during the forecast period 2024 - 2031.
1. INTRODUCTION
1.1. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
2. KEY TAKEAWAYS
3. MOBILE AI MARKET LANDSCAPE
3.1. OVERVIEW
3.2. MARKET SEGMENTATION
3.2.1. Mobile AI Market - By Technology Node
3.2.2. Mobile AI Market - By Application
3.2.3. Mobile AI Market - By Region
3.2.3.1. By Countries
3.3. PEST ANALYSIS
3.3.1. North America - PEST Analysis
3.3.2. Europe - PEST Analysis
3.3.3. Asia Pacific (APAC) - PEST Analysis
3.3.4. Middle East & Africa (MEA) - PEST Analysis
3.3.5. South America (SAM)- PEST Analysis
4. MOBILE AI MARKET - KEY INDUSTRY DYNAMICS
4.1. KEY MARKET DRIVERS
4.2. KEY MARKET RESTRAINTS
4.3. KEY MARKET OPPORTUNITIES
4.4. FUTURE TRENDS
4.5. IMPACT ANALYSIS OF DRIVERS, RESTRAINTS & EXPECTED INFLUENCE OF COVID-19 PANDEMIC
5. MOBILE AI MARKET - GLOBAL MARKET ANALYSIS
5.1. MOBILE AI- GLOBAL MARKET OVERVIEW
5.2. MOBILE AI- GLOBAL MARKET AND FORECAST TO 2025
6. MOBILE AI MARKET REVENUE AND FORECASTS TO 2028 - TECHNOLOGY NODE
6.1. OVERVIEW
6.2. TECHNOLOGY NODE MARKET FORECASTS AND ANALYSIS
6.3. 20-28NM
6.3.1. Overview
6.3.2. 20-28nm market forecast and analysis
6.4. 10NM
6.4.1. Overview
6.4.2. 10nm market forecast and analysis
6.5. 7NM AND OTHERS
6.5.1. Overview
6.5.2. 7nm and Others market forecast and analysis
7. MOBILE AI MARKET REVENUE AND FORECASTS TO 2028 - APPLICATION
7.1. OVERVIEW
7.2. APPLICATION MARKET FORECASTS AND ANALYSIS
7.3. SMARTPHONES
7.3.1. Overview
7.3.2. Smartphones market forecast and analysis
7.4. CAMERAS
7.4.1. Overview
7.4.2. Cameras market forecast and analysis
7.5. DRONES
7.5.1. Overview
7.5.2. Drones market forecast and analysis
7.6. ROBOTICS
7.6.1. Overview
7.6.2. Robotics market forecast and analysis
7.7. AUTOMOTIVE
7.7.1. Overview
7.7.2. Automotive market forecast and analysis
7.8. AR/VR
7.8.1. Overview
7.8.2. AR/VR market forecast and analysis
7.9. OTHERS
7.9.1. Overview
7.9.2. Others market forecast and analysis
8. MOBILE AI MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
8.1. NORTH AMERICA
8.1.1. North America Mobile AI Market Overview
8.1.2. North America Mobile AI Market Forecasts and Analysis
8.1.3. North America Market Forecasts and Analysis - By Countries
8.1.3.1. US market
8.1.3.2. Canada market
8.1.3.3. Mexico market
8.1.4. North America Market Forecasts and Analysis - By Technology Node
8.1.5. North America Market Forecasts and Analysis - By Application
8.2. EUROPE
8.2.1. Europe Mobile AI Market Overview
8.2.2. Europe Mobile AI Market Forecasts and Analysis
8.2.3. Europe Market Forecasts and Analysis - By Countries
8.2.3.1. France market
8.2.3.2. Germany market
8.2.3.3. Italy market
8.2.3.4. Spain market
8.2.3.5. UK market
8.2.3.6. Rest of Europe
8.2.4. Europe Market Forecasts and Analysis - By Technology Node
8.2.5. Europe Market Forecasts and Analysis - By Application
8.3. ASIA PACIFIC (APAC)
8.3.1. Asia Pacific Mobile AI Market Overview
8.3.2. Asia Pacific Mobile AI Market Forecasts and Analysis
8.3.3. Asia Pacific Market Forecasts and Analysis - By Countries
8.3.3.1. Australia market
8.3.3.2. China market
8.3.3.3. India market
8.3.3.4. Japan market
8.3.3.5. Rest of APAC
8.3.4. Asia Pacific Market Forecasts and Analysis - By Technology Node
8.3.5. Asia Pacific Market Forecasts and Analysis - By Application
8.4. MIDDLE EAST AND AFRICA (MEA)
8.4.1. Middle East and Africa Mobile AI Market Overview
8.4.2. Middle East and Africa Mobile AI Market Forecasts and Analysis
8.4.3. Middle East and Africa Market Forecasts and Analysis - By Countries
8.4.3.1. South Africa market
8.4.3.2. Saudi Arabia market
8.4.3.3. UAE market
8.4.3.4. Rest of MEA
8.4.4. Middle East and Africa Market Forecasts and Analysis - By Technology Node
8.4.5. Middle East and Africa Market Forecasts and Analysis - By Application
8.5. SOUTH AMERICA (SAM)
8.5.1. South America Mobile AI Market Overview
8.5.2. South America Mobile AI Market Forecasts and Analysis
8.5.3. South America Market Forecasts and Analysis - By Countries
8.5.3.1. Brazil market
8.5.3.2. Rest of SAM
8.5.4. South America Market Forecasts and Analysis - By Technology Node
8.5.5. South America Market Forecasts and Analysis - By Application
9. INDUSTRY LANDSCAPE
9.1. MERGERS & ACQUISITIONS
9.2. MARKET INITIATIVES
9.3. NEW DEVELOPMENTS
9.4. INVESTMENT SCENARIOS
10. COMPETITIVE LANDSCAPE
10.1. COMPETITIVE PRODUCT MAPPING
10.2. MARKET POSITIONING/ MARKET SHARE
11. MOBILE AI MARKET, KEY COMPANY PROFILES
11.1. NVIDIA CORPORATION
11.1.1. Key Facts
11.1.2. Business Description
11.1.3. Financial Overview
11.1.4. SWOT Analysis
11.1.5. Key Developments
11.2. INTEL CORPORATION
11.2.1. Key Facts
11.2.2. Business Description
11.2.3. Financial Overview
11.2.4. SWOT Analysis
11.2.5. Key Developments
11.3. MICROSOFT CORPORATION
11.3.1. Key Facts
11.3.2. Business Description
11.3.3. Financial Overview
11.3.4. SWOT Analysis
11.3.5. Key Developments
11.4. IBM CORPORATION
11.4.1. Key Facts
11.4.2. Business Description
11.4.3. Financial Overview
11.4.4. SWOT Analysis
11.4.5. Key Developments
11.5. QUALCOMM INC.
11.5.1. Key Facts
11.5.2. Business Description
11.5.3. Financial Overview
11.5.4. SWOT Analysis
11.5.5. Key Developments
11.6. APPLE INC.
11.6.1. Key Facts
11.6.2. Business Description
11.6.3. Financial Overview
11.6.4. SWOT Analysis
11.6.5. Key Developments
11.7. HISILICON TECHNOLOGIES CO., LTD. (A HUAWEI COMPANY)
11.7.1. Key Facts
11.7.2. Business Description
11.7.3. Financial Overview
11.7.4. SWOT Analysis
11.7.5. Key Developments
11.8. ALPHABET, INC. (GOOGLE)
11.8.1. Key Facts
11.8.2. Business Description
11.8.3. Financial Overview
11.8.4. SWOT Analysis
11.8.5. Key Developments
11.9. MEDIATEK INC.
11.9.1. Key Facts
11.9.2. Business Description
11.9.3. Financial Overview
11.9.4. SWOT Analysis
11.9.5. Key Developments
11.10. SAMSUNG ELECTRONICS CO., LTD.
11.10.1. Key Facts
11.10.2. Business Description
11.10.3. Financial Overview
11.10.4. SWOT Analysis
11.10.5. Key Developments
12. APPENDIX
12.1. ABOUT THE INSIGHT PARTNERS
12.2. GLOSSARY OF TERMS
12.3. RESEARCH METHODOLOGY
1. NVIDIA Corporation
2. Intel Corporation
3. Microsoft Corporation
4. IBM Corporation
5. Qualcomm Inc.
6. Apple Inc.
7. HiSilicon Technologies Co., Ltd. (A Huawei Company)
8. Alphabet, Inc. (Google)
9. MediaTek Inc.
10. Samsung Electronics Co., Ltd.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.